4.3 Article

Errors in MET Estimates of Physical Activities Using 3.5 ml.kg-1.min-1 as the Baseline Oxygen Consumption

期刊

JOURNAL OF PHYSICAL ACTIVITY & HEALTH
卷 7, 期 4, 页码 508-516

出版社

HUMAN KINETICS PUBL INC
DOI: 10.1123/jpah.7.4.508

关键词

metabolic equivalent; compendium of physical activities; intensity classification

资金

  1. NCI NIH HHS [R01 CA121005] Funding Source: Medline

向作者/读者索取更多资源

Purpose: To compare intensity misclassification and activity MET values using measured RMR (measMET) compared with 3.5 ml.kg(-1).min(-1) (standMET) and corrected METs [corrMET = mean standMET x (3.5 divided by Harris-Benedict RMR)] in subgroups. Methods: RMR was measured for 252 subjects following a 4-hr fast and before completion of 11 activities. VO2 was measured during activity using indirect calorimetry (n = 2555 activities). Subjects were classified by BMI category (normal-weight or overweight/obese), sex, age (decade 20, 30, 40, or 50 y), and fitness quintiles (low to high). Activities were classified into low, moderate, and vigorous intensity categories. Results: The (mean +/- SD) measMET was 6.1 +/- 2.64 METs. StandMET [mean (95% CI)] was (0.51(0.42, 0.59) METs) less than measMET. CorrMET was not statistically different from measMET (-0.02 (-0.11,0.06) METs). 12.2% of the activities were misclassified using standMETs compared with an 8.6% misclassification rate for METs based on predicted RMR (P < .0001). StandMET differences and misclassification rates were highest for low fit, overweight, and older individuals while there were no differences when corrMETs were used. Conclusion: Using 3.5ml.kg(-1).min(-1) to calculate activity METs causes higher misclassification of activities and inaccurate point estimates of METs than a corrected baseline which considers individual height, weight, and age. These errors disproportionally impact subgroups of the population with the lowest activity levels.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据